176 to 200 of 465 TensorFlow Jobs

stakeholders. Who we're looking for: You understand the full machine learning lifecycle and have experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch. You possess strong Python skills and solid experience in software engineering best practices. You bring hands-on experience with cloud platforms ...

Agile delivery frameworks. Preferred Qualifications Hands-on experience with Palantir AIP and AI-enabled Foundry applications. Familiarity with AI/ML frameworks such as TensorFlow or PyTorch. Palantir Foundry certification or significant project delivery experience. Previous experience within the Insurance industry. 3+ years of professional Data Engineering experience. 2+ ...

stakeholders. Who we're looking for: You understand the full machine learning lifecycle and have experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch. You possess strong Python skills and solid experience in software engineering best practices. You bring hands-on experience with cloud platforms ...

based software to a cloud environment. PREFERRED QUALIFICATION Proficiencyin Python andpython-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow,PyTorch).. Experience working with language models like LLM's APIs andoptimizingtheir usage for specific applications. Experience with the following programming languages: Python, C++ ...

stakeholders. Who we're looking for: You understand the full machine learning lifecycle and have experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch. You possess strong Python skills and solid experience in software engineering best practices. You bring hands-on experience with cloud platforms ...

there will be room to work with our other developers on the application of machine learning tools to extract and model data (e.g. PyTorch, TensorFlow). Minimum Qualifications We are looking for a candidate with at least 3 years of professional experience as a back end developer. Some flexibility ...

industry experience, or an MS with significant industry or research experience in the field Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit‐Learn, Pandas) Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance ...

point in time data is a strong plus Also desirable: experience with vector databases (pgvector, Pinecone, Weaviate, Qdrant or similar); machine learning experience (PyTorch, TensorFlow, XGBoost/LightGBM) for building, maintaining and extending existing models; Bloomberg API integration to Python; data science/statistics, signal research, backtesting or factor ...

oral communications for technical and non-technical audiences Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting ...

oral communications for technical and non-technical audiences Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting ...

project objectives. Masters degree in a STEM field (maths, science, engineering etc.) or equivalent Strong programming skills in Python (e.g., NumPy, Pandas, scikit-learn, TensorFlow/PyTorch). Demonstrable experience in creating and developing Python libraries. Demonstrable experience designing, implementing and training machine learning models from scratch. Strong foundations ...

experimentation, observability, debugging, and testing approaches for AI/ML systems, including non-deterministic and agentic applications. Machine learning and optimization frameworks such asPyTorch, TensorFlow, or JAX. Distributed systems, cloud infrastructure, model serving, orchestration, data pipelines, and API design. Performance optimization across latency, throughput, computeutilization, reliability, scalability, and cost. ...

data science and machine learning techniques, including supervised and unsupervised learning. Proficiency in the Python data science ecosystem (e.g. NumPy, Pandas, scikit‐learn, PyTorch, TensorFlow). Experience with big data and distributed analytics platforms (e.g. Spark, Hadoop). Hands‐on experience with Natural Language Processing, graph analytics and advanced ...

data science and machine learning techniques, including supervised and unsupervised learning. Proficiency in the Python data science ecosystem (e.g. NumPy, Pandas, scikit‐learn, PyTorch, TensorFlow). Experience with big data and distributed analytics platforms (e.g. Spark, Hadoop). Hands‐on experience with Natural Language Processing, graph analytics and advanced ...

support robust model development and interpretation. Proficiency in Object-Oriented programming in Python with expertise in key data science and machine learning libraries (e.g. TensorFlow, PyTorch and Scikit-Learn). Expertise in cloud technologies (emphasis on Azure and/or AWS) and deployment practices, ensuring seamless and scalable delivery. ...

Representation Learning: Deep understanding of embedding generation, deep semantic retrieval, and multi‐modal representation learning. Technical Stack: Mastery of Python and deep learning frameworks (TensorFlow, PyTorch) alongside hands‐on experience with distributed computing (Spark, Ray) and cloud infrastructure (AWS/GCP). Graph Neural Networks (GNNs): Strong experience applying ...

Representation Learning: Deep understanding of embedding generation, deep semantic retrieval, and multi-modal representation learning. Technical Stack: Mastery of Python and deep learning frameworks (TensorFlow, PyTorch) alongside hands-on experience with distributed computing (Spark, Ray) and cloud infrastructure (AWS/GCP). Graph Neural Networks (GNNs): Strong experience applying ...

control systems (Git). Preferred Skills: Hugging Face Transformers. Familiarity with time‐series databases and analysis tools. Knowledge of AI model serving frameworks like TensorFlow Serving or ONNX Runtime. Experience with AI ethics and bias mitigation techniques. Familiarity with GPU acceleration and distributed computing for AI workloads. Career Growth ...

Science Expertise: Knowledge of data science fundamentals, solution lifecycles, and MLOps methodology. Generative AI Knowledge: Experience with LLMs, neural networks, and recommendation systems. Frameworks: TensorFlow, PyTorch, Hugging Face, OpenAI tools. Certifications: Cloud or AI architecture certifications are a plus. About SDG Group and the Role SDG Group ...

documentation. Ability to document and explain technical concepts clearly to non‐technical audiences. Nice to Haves Experience with deep learning frameworks such as TensorFlow or Keras. Knowledge of time‐series modelling techniques, particularly transformers. Experience working with geospatial data and geospatial modelling techniques. Benefits We believe in supporting ...

United Kingdom (GB).Job Description – Python Gen AI DeveloperDay to Day job Duties: Design, implement, and optimize generative AI models using frameworks like TensorFlow, PyTorch, or JAX. This includes working with architecture like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Large Language Models (LLMs) Research and implement machine ...

solutions in Python Solid understanding of the Python ML ecosystem including libraries such as NumPy, pandas, and scikit learn, with exposure to PyTorch or TensorFlow Experience building and deploying containerised services and APIs Working knowledge of SQL and data driven application development Hands on experience with at least ...

attention to detail Nice to have: experience with big data tools or distributed data systems, familiarity with ML frameworks such as scikit-learn, TensorFlow, and PyTorch, knowledge of data warehousing concepts and modern data stack tools, exposure to DevOps practices, CI/CD, or infrastructure-as-code, experience ...

Experience working with AI/ML technologies, particularly ASR, TTS, LLMs, or related tooling, is highly desirable. AWS, Terraform, Kubernetes, Hugging Face, PyTorch/TensorFlow, or Generative AI tooling would be advantageous. Strong communication, stakeholder management, analytical, and problem-solving skills. Comfortable taking ownership and working in a fast ...

databases and retrieval MLOps and production deployment AI evaluation, testing and observability AI governance, model risk and engineering controls ML frameworks such as PyTorch, TensorFlow or Scikit‐learn Experience operating in complex, regulated or high‐risk environments would be particularly valuable. More important than any individual technology ...